Role Description Join IntelliSense.io and help build the future of Scientific Intelligence. As a Backend Engineer, you'll design and implement robust data solutions that meet both internal and client needs. You'll also play a key role in shaping how we build software, setting standards, and helping teams deliver high-quality work. - Extracting requirements, designing, developing, and testing software applications - Liaising with different teams, including QA team and data scientists to ensure the best processes are used to create the best outcome of a product - Troubleshooting and resolving issues related to applications and services - Identifying bugs in the microservices and proposing solutions to fix them - Collaborating with the data science team to integrate equipment/process models into software components and services - Applying principles, best practices, and techniques of engineering, mathematics, and computer science to software development - Defining and implementing Unit Test codes, and providing test coverage for the developed software components or services - Writing and maintaining documentation for all services and their dependencies Qualifications - Experience in software engineering, with a strong focus on data systems - Proficiency in Java and Node.js - SQL skills and experience with both relational and NoSQL databases - Hands-on experience with message queues (e.g. NATS, Pub/Sub) - Experience building web services using REST and SOAP - Working knowledge of Kubernetes and Docker - Excellent communication skills and confidence working in distributed teams - A degree in Computer Science (or a related field), or equivalent practical experience - Fluency in English and Arabic languages Benefits - Opportunity to work on cutting-edge technology and meaningful data challenges - A collaborative, global team of talented engineers and domain experts - A continuous learning environment with real opportunities to grow and lead Location This role is remote but must be based in Saudi Arabia. We actively encourage applications from people of all backgrounds. If this role excites you, even if you don't meet every requirement, we'd love to hear from you. You belong here. Let's build something extraordinary together.

• Diseñar, desarrollar e implementar soluciones de Inteligencia Artificial y Machine Learning. • Construir y gestionar plataformas de datos y flujos de trabajo de IA sobre Google Cloud Platform (GCP). • Desarrollar arquitecturas basadas en Agentic AI utilizando Vertex AI y Gemini Enterprise. • Desplegar y administrar aplicaciones en entornos Kubernetes (GKE). • Automatizar infraestructuras mediante Terraform (Infrastructure as Code). • Implementar y mantener pipelines CI/CD, DevOps y MLOps. • Optimizar el rendimiento, la escalabilidad y la fiabilidad de las soluciones de IA. • Colaborar con equipos multidisciplinares para transformar necesidades de negocio en soluciones de producción. • Documentar soluciones y contribuir a la mejora continua de las plataformas.

• Write Code Daily: Spend 50%+ of your time building scalable solutions with Node.js, Vue.js, PostgreSQL, and AWS. • Leverage AI extensively: Create AI processes used across the company to accelerate delivery and increase quality. • Solve Real Problems: From mobile apps to enterprise workflow automation — our users build things that matter. • Guide the Team: Lead a team of 7 engineers and QA professionals, shaping architectural decisions, reviewing code, and driving best practices. • Improve Our Platform: Help make Fliplet faster, smarter and more secure. You’ll work closely with Product, Design, Customer Success, and senior leadership — helping translate market demand into elegant, scalable code.

• Lead the technical design and implementation of new partner integrations and platform features. • Own the full lifecycle of your services—from development and deployment to production monitoring, alerting, and incident response. • Actively manage our AWS cloud infrastructure, writing and maintaining Infrastructure as Code (Terraform) to ensure environment parity and security. • Evolve our integration strategy, championing a platform-first mindset that drives synergies across our integration ecosystem. • Ensure high-performance, secure communication between internal and external systems. • Leverage cutting-edge AI-powered tools across the entire software development lifecycle—from system design and code generation to infrastructure automation, log analysis, and performance monitoring. • Provide technical support and create high-quality documentation to ensure the long-term maintainability of our connectivity layer.